Modeling of an intelligent agent for solving economic problems in agriculture

Abstract

This article is devoted to the modeling of an intelligent agent for solving economic problems in agriculture, taking into account the sustainable development of territories. The problems faced by farmers at various stages of business development are raised, and the use of intelligent systems based on multi-agent neurocognitive principles for risk analysis and forecasting, production optimization and risk management in agriculture is proposed. The results of the study can be useful for farmers and entrepreneurs in agriculture, helping them to effectively manage their business and make informed economic decisions.